Anusha Nagabandi
Anusha Nagabandi
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Zitiert von
Zitiert von
Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning
A Nagabandi, G Kahn, RS Fearing, S Levine
2018 IEEE International Conference on Robotics and Automation (ICRA), 7559-7566, 2018
Learning to adapt in dynamic, real-world environments through meta-reinforcement learning
A Nagabandi, I Clavera, S Liu, RS Fearing, P Abbeel, S Levine, C Finn
arXiv preprint arXiv:1803.11347, 2018
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
AX Lee, A Nagabandi, P Abbeel, S Levine
arXiv preprint arXiv:1907.00953, 2019
Deep Dynamics Models for Learning Dexterous Manipulation
A Nagabandi, K Konoglie, S Levine, V Kumar
arXiv preprint arXiv:1909.11652, 2019
Deep online learning via meta-learning: Continual adaptation for model-based RL
A Nagabandi, C Finn, S Levine
arXiv preprint arXiv:1812.07671, 2018
Expressive robot motion timing
A Zhou, D Hadfield-Menell, A Nagabandi, AD Dragan
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot …, 2017
Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots
A Nagabandi, G Yang, T Asmar, R Pandya, G Kahn, S Levine, RS Fearing
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Cooperative inchworm localization with a low cost team
BE Nemsick, AD Buchan, A Nagabandi, RS Fearing, A Zakhor
2017 IEEE International Conference on Robotics and Automation (ICRA), 6323-6330, 2017
Trust during robot-assisted navigation
E Mason, A Nagabandi, A Steinfeld, C Bruggeman
2013 AAAI Spring Symposium Series, 2013
A path planning algorithm for single-ended continuous planar robotic ribbon folding
A Nagabandi, L Wang, RS Fearing
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Input-Convex Neural Networks and Posynomial Optimization
S Kent, E Mazumdar, B EDU, A Nagabandi, K Rakelly
Monocular Multi-Robot Trajectory Control with RGB LEDs
A Nagabandi, B Nemsick, J Yim
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